Christoph Carl Kling

Dr. Christoph Carl Kling

Abteilung Computational Social Science
Team Data Science

Unter Sachsenhausen 6-8

Tel.:+49 (221) 47694-459
Fax:+49 (221) 47694-199


I'm a data scientist and my area of research is data mining with probabilistic graphical models, with a focus on topic models.

In topic modelling, we try to explain the co-occurrences of words in documents.
For instance, given a corpus of newspaper articles, we could find that words such as "politician", "party", "election" or words like "financial", "crisis" and "bank" frequently co-occur within news articles.
Those word sets can be extracted using probabilistic models and we call those word sets "topics".

Context is extremely important for understanding meaning, there is so much context information available, just think of author, time and geographical coordinates, and all the information we can join in knowing time and location.
The basic idea behind my models is to group similar documents in terms of their context, and to exploit that those documents share a common set of topics.

My aim is to create easy-to-use, flexible topic models which are able to cope with a large amount of data including contextual information.
And of course, my code is free software and available on my website!

Beitrag im Sammelwerk

Kling, Christoph Carl. 2017 (Forthcoming). "Neue Wahrscheinlichkeitsmodelle und Inferenz-Techniken für Kontextinformationen im World Wide Web." In Ausgezeichnete Informatikdissertationen 2016, Lecture Notes in Informatics (LNI).

Fay, Damien, Hamed Haddadi, Michael Seto, Han Wang, and Christoph Carl Kling. 2016. "An exploration of fetish social networks and communities." In Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings, Lecture Notes in Computer Science 9564, 195-204.

Kling, Christoph Carl, Lisa Posch, Arnim Bleier, and Laura Dietz. 2016. "Topic model tutorial: A basic introduction on latent dirichlet allocation and extensions for web scientists." In WebSci '16 Proceedings of the 8th ACM Conference on Web Science, 10-10. New York: ACM.

Kling, Christoph Carl, Jérôme Kunegis, Heinrich Hartmann, Markus Strohmaier, and Steffen Staab. 2015. "Voting Behaviour and Power in Online Democracy: A Study of LiquidFeedback in Germany's Pirate Party." In Proceedings of the Ninth International AAAI Conference on Web and Social Media : 26 - 29 May 2015, University of Oxford, Oxford, 208-217.


Bleier, Arnim, Christoph Carl Kling, and Lisa Posch. 2016. "Topic Model Tutorial." Web Science Conference 2016 / Leibniz University Hannover & L3S Research Center. Post Graduate Workshop.


Kling, Christoph Carl. 2016. Dissertation: Probabilistic models for context in social media - Novel Approaches and Inference Schemes.